



'''simple docstring'''





from __future__ import annotations

from math import pi

# Define the Reduced Planck Constant ℏ (H bar), speed of light C, value of
# Pi and the function
lowercase_									=    1.0_54_57_18_17e-34  # unit of ℏ : J * s

lowercase_									=    3e8  # unit of c : m * s^-1




def lowerCAmelCase    (__A    ,      __A    ,      __A):



     """simple docstring"""



     if (force, area, distance).count(0) != 1:
          raise ValueError('''One and only one argument must be 0''')
     if force < 0:
          raise ValueError('''Magnitude of force can not be negative''')
     if distance < 0:
          raise ValueError('''Distance can not be negative''')
     if area < 0:
          raise ValueError('''Area can not be negative''')
     if force == 0:
          _a           =    (REDUCED_PLANCK_CONSTANT * SPEED_OF_LIGHT * pi**2 * area) / (
              240 * (distance) ** 4
          )
          return {"force": force}
     elif area == 0:
          _a           =    (240 * force * (distance) ** 4) / (
              REDUCED_PLANCK_CONSTANT * SPEED_OF_LIGHT * pi**2
          )
          return {"area": area}
     elif distance == 0:
          _a           =    (
              (REDUCED_PLANCK_CONSTANT * SPEED_OF_LIGHT * pi**2 * area) / (240 * force)
          ) ** (1 / 4)
          return {"distance": distance}
     raise ValueError('''One and only one argument must be 0''')


# Run doctest
if __name__ == "__main__":
  import doctest

  doctest.testmod()










'''simple docstring'''






import json
import os
import shutil
import warnings
from argparse import ArgumentParser, Namespace
from pathlib import Path
from typing import List

from ..utils import logging
from . import BaseTransformersCLICommand


try:
					from cookiecutter.main import cookiecutter

					lowerCAmelCase									=   True
except ImportError:
					lowerCAmelCase									=   False

lowerCAmelCase									=   logging.get_logger(__name__)  # pylint: disable=invalid-name






def   __A    (				a_    :	Namespace						):
		return AddNewModelCommand(args.testing   ,args.testing_file   ,path=args.path						)

class 		lowerCamelCase	(   _A							):



	@staticmethod
	def 	_lowerCamelCase     ( a_						):
			lowerCAmelCase  :     Optional[int]       						= parser.add_parser("add-new-model"						)
			add_new_model_parser.add_argument("--testing"		,   action="store_true"		,   help="If in testing mode."						)
			add_new_model_parser.add_argument("--testing_file"		,   type=a_		,   help="Configuration file on which to run."						)
			add_new_model_parser.add_argument(
			    "--path"		,   type=a_		,   help="Path to cookiecutter. Should only be used for testing purposes."						)
			add_new_model_parser.set_defaults(func=a_						)



	def __init__( self		,   a_		,   a_		,   a_=None		,   *a_						):
			lowerCAmelCase  :     Any       						= testing
			lowerCAmelCase  :     str       						= testing_file
			lowerCAmelCase  :     Optional[int]       						= path





	def 	_lowerCamelCase     ( self						):
			warnings.warn(
			    "The command `transformers-cli add-new-model` is deprecated and will be removed in v5 of Transformers. "
			    "It is not actively maintained anymore, so might give a result that won't pass all tests and quality "
			    "checks, you should use `transformers-cli add-new-model-like` instead."						)
			if not _has_cookiecutter:
					raise ImportError(
					    "Model creation dependencies are required to use the `add_new_model` command. Install them by running "
					    "the following at the root of your `transformers` clone:\n\n\t$ pip install -e .[modelcreation]\n"						)
			# Ensure that there is no other `cookiecutter-template-xxx` directory in the current working directory
			lowerCAmelCase  :     Optional[Any]       						= [directory for directory in os.listdir() if "cookiecutter-template-" == directory[:22]]
			if len(a_						) > 0:
					raise ValueError(
					    "Several directories starting with `cookiecutter-template-` in current working directory. "
					    "Please clean your directory by removing all folders starting with `cookiecutter-template-` or "
					    "change your working directory."						)

			lowerCAmelCase  :     List[str]       						= (
			    Path(a_						).parent.parent.parent.parent if self._path is None else Path(self._path						).parent.parent
			)
			lowerCAmelCase  :     str       						= path_to_transformer_root / "templates" / "adding_a_new_model"

			# Execute cookiecutter
			if not self._testing:
					cookiecutter(str(a_						)						)
			else:
					with open(self._testing_file		,   "r"						) as configuration_file:
							lowerCAmelCase  :     Dict       						= json.load(a_						)

					cookiecutter(
					    str(path_to_cookiecutter if self._path is None else self._path						)		,   no_input=a_		,   extra_context=a_		,   )

			lowerCAmelCase  :     Optional[Any]       						= [directory for directory in os.listdir() if "cookiecutter-template-" in directory[:22]][0]

			# Retrieve configuration
			with open(directory + "/configuration.json"		,   "r"						) as configuration_file:
					lowerCAmelCase  :     str       						= json.load(a_						)

			lowerCAmelCase  :     List[str]       						= configuration["lowercase_modelname"]
			lowerCAmelCase  :     List[Any]       						= configuration["generate_tensorflow_pytorch_and_flax"]
			os.remove(F'''{directory}/configuration.json'''						)

			lowerCAmelCase  :     Optional[int]       						= "PyTorch" in generate_tensorflow_pytorch_and_flax
			lowerCAmelCase  :     Optional[int]       						= "TensorFlow" in generate_tensorflow_pytorch_and_flax
			lowerCAmelCase  :     Optional[Any]       						= "Flax" in generate_tensorflow_pytorch_and_flax

			lowerCAmelCase  :     List[str]       						= F'''{path_to_transformer_root}/src/transformers/models/{lowercase_model_name}'''
			os.makedirs(a_		,   exist_ok=a_						)
			os.makedirs(F'''{path_to_transformer_root}/tests/models/{lowercase_model_name}'''		,   exist_ok=a_						)

			# Tests require submodules as they have parent imports
			with open(F'''{path_to_transformer_root}/tests/models/{lowercase_model_name}/__init__.py'''		,   "w"						):
					pass

			shutil.move(
			    F'''{directory}/__init__.py'''		,   F'''{model_dir}/__init__.py'''		,   )
			shutil.move(
			    F'''{directory}/configuration_{lowercase_model_name}.py'''		,   F'''{model_dir}/configuration_{lowercase_model_name}.py'''		,   )

			def remove_copy_lines(a_						):
					with open(a_		,   "r"						) as f:
							lowerCAmelCase  :     Dict       						= f.readlines()
					with open(a_		,   "w"						) as f:
							for line in lines:
									if "# Copied from transformers." not in line:
											f.write(a_						)

			if output_pytorch:
					if not self._testing:
							remove_copy_lines(F'''{directory}/modeling_{lowercase_model_name}.py'''						)

					shutil.move(
					    F'''{directory}/modeling_{lowercase_model_name}.py'''		,   F'''{model_dir}/modeling_{lowercase_model_name}.py'''		,   )

					shutil.move(
					    F'''{directory}/test_modeling_{lowercase_model_name}.py'''		,   F'''{path_to_transformer_root}/tests/models/{lowercase_model_name}/test_modeling_{lowercase_model_name}.py'''		,   )
			else:
					os.remove(F'''{directory}/modeling_{lowercase_model_name}.py'''						)
					os.remove(F'''{directory}/test_modeling_{lowercase_model_name}.py'''						)

			if output_tensorflow:
					if not self._testing:
							remove_copy_lines(F'''{directory}/modeling_tf_{lowercase_model_name}.py'''						)

					shutil.move(
					    F'''{directory}/modeling_tf_{lowercase_model_name}.py'''		,   F'''{model_dir}/modeling_tf_{lowercase_model_name}.py'''		,   )

					shutil.move(
					    F'''{directory}/test_modeling_tf_{lowercase_model_name}.py'''		,   F'''{path_to_transformer_root}/tests/models/{lowercase_model_name}/test_modeling_tf_{lowercase_model_name}.py'''		,   )
			else:
					os.remove(F'''{directory}/modeling_tf_{lowercase_model_name}.py'''						)
					os.remove(F'''{directory}/test_modeling_tf_{lowercase_model_name}.py'''						)

			if output_flax:
					if not self._testing:
							remove_copy_lines(F'''{directory}/modeling_flax_{lowercase_model_name}.py'''						)

					shutil.move(
					    F'''{directory}/modeling_flax_{lowercase_model_name}.py'''		,   F'''{model_dir}/modeling_flax_{lowercase_model_name}.py'''		,   )

					shutil.move(
					    F'''{directory}/test_modeling_flax_{lowercase_model_name}.py'''		,   F'''{path_to_transformer_root}/tests/models/{lowercase_model_name}/test_modeling_flax_{lowercase_model_name}.py'''		,   )
			else:
					os.remove(F'''{directory}/modeling_flax_{lowercase_model_name}.py'''						)
					os.remove(F'''{directory}/test_modeling_flax_{lowercase_model_name}.py'''						)

			shutil.move(
			    F'''{directory}/{lowercase_model_name}.md'''		,   F'''{path_to_transformer_root}/docs/source/en/model_doc/{lowercase_model_name}.md'''		,   )

			shutil.move(
			    F'''{directory}/tokenization_{lowercase_model_name}.py'''		,   F'''{model_dir}/tokenization_{lowercase_model_name}.py'''		,   )

			shutil.move(
			    F'''{directory}/tokenization_fast_{lowercase_model_name}.py'''		,   F'''{model_dir}/tokenization_{lowercase_model_name}_fast.py'''		,   )

			from os import fdopen, remove
			from shutil import copymode, move
			from tempfile import mkstemp

			def replace(a_		,   a_		,   a_						):
					# Create temp file
					lowerCAmelCase						,		lowerCAmelCase  :     Tuple       						= mkstemp()
					lowerCAmelCase  :     int       						= False
					with fdopen(a_		,   "w"						) as new_file:
							with open(a_						) as old_file:
									for line in old_file:
											new_file.write(a_						)
											if line_to_copy_below in line:
													lowerCAmelCase  :     Optional[int]       						= True
													for line_to_copy in lines_to_copy:
															new_file.write(a_						)

					if not line_found:
							raise ValueError(F'''Line {line_to_copy_below} was not found in file.'''						)

					# Copy the file permissions from the old file to the new file
					copymode(a_		,   a_						)
					# Remove original file
					remove(a_						)
					# Move new file
					move(a_		,   a_						)

			def skip_units(a_						):
					return (
					    ("generating PyTorch" in line and not output_pytorch)
					    or ("generating TensorFlow" in line and not output_tensorflow)
					    or ("generating Flax" in line and not output_flax)
					)

			def replace_in_files(a_						):
					with open(a_						) as datafile:
							lowerCAmelCase  :     Dict       						= []
							lowerCAmelCase  :     Optional[int]       						= False
							lowerCAmelCase  :     List[Any]       						= False
							for line in datafile:
									if "# To replace in: " in line and "##" not in line:
											lowerCAmelCase  :     Optional[int]       						= line.split("\""						)[1]
											lowerCAmelCase  :     Tuple       						= skip_units(a_						)
									elif "# Below: " in line and "##" not in line:
											lowerCAmelCase  :     Any       						= line.split("\""						)[1]
											lowerCAmelCase  :     List[str]       						= skip_units(a_						)
									elif "# End." in line and "##" not in line:
											if not skip_file and not skip_snippet:
													replace(a_		,   a_		,   a_						)

											lowerCAmelCase  :     List[str]       						= []
									elif "# Replace with" in line and "##" not in line:
											lowerCAmelCase  :     Any       						= []
									elif "##" not in line:
											lines_to_copy.append(a_						)

					remove(a_						)

			replace_in_files(F'''{directory}/to_replace_{lowercase_model_name}.py'''						)
			os.rmdir(a_						)



